Results 91 to 100 of about 4,842 (263)

Statistical analysis with the state space model

open access: yes, 1992
The State Space Model (SSM) encompasses the class of multivariate linear models, in particular, regression models with fixed, time-varying and random parameters, time series models, unobserved components models and combinations thereof.
Chu-Chun-Lin, Singfat
core  

The efficient global primitive equation climate model SPEEDO V2.0

open access: yes, 2010
The efficient primitive-equation coupled atmosphere-ocean model SPEEDO V2.0 is presented. The model includes an interactive sea-ice and land component. SPEEDO is a global earth system model of intermediate complexity.
Severijns, C.A.   +3 more
core   +1 more source

Abnormal functional connectivity patterns in temporal lobe epilepsy—An international ENIGMA‐epilepsy study

open access: yesEpilepsia Open, EarlyView.
Abstract Objectives Temporal lobe epilepsy (TLE) impacts multiple brain networks. Aberrant functional connectivity has been demonstrated in resting‐state networks (RSNs) that mediate higher brain functions in TLE. This study aimed to identify the reproducible patterns of altered functional connectivity in TLE in a large, international cohort through ...
Victoria Ives‐Deliperi   +28 more
wiley   +1 more source

Curriculum Guidelines for Social and Behavioral Sciences in Predoctoral Dental Education

open access: yesJournal of Dental Education, EarlyView.
ABSTRACT Social and behavioral sciences are an integral part of predoctoral dental education, given the important role of social and behavioral factors in oral health, dentist‐patient communication, the provision of person‐centered care, and patients’ experience of dental treatment and their treatment outcomes.
Cameron L. Randall   +10 more
wiley   +1 more source

Economic Analysis Basing on State Space Model

open access: yes, 2006
探讨状态空间模型及其在经济分析与预测中的应用.状态空间模型不仅具有优良的统计性质,而且具有变量动态互动分析与预测功能.本文通过建立我国宏观经济状态空间模型并加以分析,以实证结果表明状态空间模型不失为一种较好的分析方法. This paper explores a new method of time-series analysis-State Space Model(SSM) as well as its application in economic analysis and prediction ...
梁伟, 钱争鸣, 郭鹏辉, 于艳萍
core  

MR Imaging‐Based Biomarkers for Strength Prediction: A Statistical Shape and Architecture Modeling of Quadriceps Muscles

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Muscle mass decline, associated with strength decline, is a hallmark of aging. Yet, strength decline greatly exceeds mass decline. This indicates that aspects of muscle quality and architecture—not reflected by mass—also influence force generating capacity.
Salim Bin Ghouth   +2 more
wiley   +1 more source

Is quinoa‐farming sustainable in marginal environments? Social, economical and environmental aspects

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract Quinoa (Chenopodium quinoa Willd.) is an Andean grain crop introduced as a novel crop to many parts of the world in recent years. Recognized for nutritious seeds and high abiotic stress tolerance, it has been promoted as an element of climate‐resilient agriculture, particularly in marginal environments.
Anna Tabea Mengen   +5 more
wiley   +1 more source

PARD-SSM: Probabilistic Cyber-Attack Regime Detection via Variational Switching State-Space Models

open access: yesCoRR
Modern adversarial campaigns unfold as sequences of behavioural phases - Reconnaissance, Lateral Movement, Intrusion, and Exfiltration - each often indistinguishable from legitimate traffic when viewed in isolation. Existing intrusion detection systems (IDS) fail to capture this structure: signature-based methods cannot detect zero-day attacks, deep ...
Prakul Sunil Hiremath   +2 more
openaire   +2 more sources

TCP-SSM: Efficient Vision State Space Models with Token-Conditioned Poles

open access: yes
State Space Models (SSMs) have emerged as a compelling alternative to attention models for long-range vision tasks, offering input-dependent recurrence with linear complexity. However, most efficient SSM variants reduce computation cost by modifying scan routes, resolutions, or traversal patterns, while largely leaving the recurrent dynamics implicit ...
Shoouri, Sara   +2 more
openaire   +2 more sources

Sequential Joint Dependency Aware Human Pose Estimation with State Space Model

open access: yes
In this paper, we present a sequential joint dependency aware model for monocular 2D-to-3D human pose estimation. While existing estimators leverage the (bi)directional joint dependency with graph convolutions and attention, we further propose to exploit
Yin, H.   +7 more
core   +1 more source

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